Full-timeTech & engineering· Posted 16 Sept

Data Platform Engineer, R&D

P&GFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

SingaporeSingapore TC-BIOPOLIS

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

You will build and run the scientific data foundation that connects consumer, biological, OMICS, assay, formulation and performance data. Working within an R&D data team, you will deliver pipelines and services that cut manual handling and give analytics, computational biology and AI teams trusted data. This suits an experienced data engineer who enjoys scientific datasets and owning reliability end to end.

What you'll do

Build scalable pipelines that ingest, transform, standardise and connect scientific data
Integrate laboratory, OMICS, imaging, assay, phenotype, formulation, consumer and performance datasets
Automate data movement into governed analytical environments
Turn approved data-product requirements into maintainable technical designs

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Implement metadata, provenance, versioning, identity resolution, access and data-quality controls

Maintain traceability to samples, methods, experimental conditions, transformations and source systems

Implement approved semantic and ontology requirements

Test transformations, interfaces and controls for reliable downstream use

Build and maintain interfaces among repositories, knowledge graphs, analytical tools, computational models and AI workflows

Monitor data availability, pipeline performance, failures and dependencies

Resolve bottlenecks affecting data access, reuse and analytical readiness

Own operational support and reliability for pipelines, interfaces and data services

Good to know

Full-time role based at Singapore TC-Biopholis
Open to experienced professionals

Requirements

Bachelor's, Master's or PhD in Computer Science, Data Engineering, Software Engineering or a related field
Strong hands-on experience building data pipelines, integrations and scalable data services
Proficiency in Python, SQL or similar data-engineering technologies
Experience with structured and unstructured data, databases, APIs and cloud environments
Understanding of metadata, provenance, data quality, versioning, access controls, testing and operational support

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Data Platform Engineer, R&D

About the role

What you'll do

Good to know

Requirements

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